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Field
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backgrounds and lead annual fieldwork activities for sample collection. Opportunities to travel to conferences and project meetings are also available. This position provides numerous opportunities
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large
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of statistical analysis of genetic, proteomic data and their links to neuropsychological phenotypes Interpretation and interdisciplinary discussion of research results Design and implementation of own research
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-driven methods for structural analysis under multiphysics loading”. Expected start date and duration of employment This is a 4–year position from September 1st, 2025, or as soon possible. Job description
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. Mathematical techniques include qualitative and numerical analysis of deterministic and stochastic dynamical systems, optimal control, network models, and machine learning. Preference will be given to candidates
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We are seeking a highly motivated Postdoctoral Research Scientist with a strong background in human induced pluripotent stem cell (iPSC) differentiations and computational analysis to join Dr
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start date. Experience in brainstem analysis using neuromelanin imaging at both structural and functional levels Experience with various functional connectivity approaches (e.g., PPI, Beta-Series, and C
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advanced statistical analysis Expertise in youth research is an asset Proficiency in data processing and analysis software (e.g. R, Stata, Python, SPSS) Proficient in at least two of the following languages
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Qualifications Research experience in bioreactor design and operation. Capable of doing technoeconomic analysis and life cycle analysis. Self-motivated to lead research endeavors. Good human skills to interact
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processes for data standardization, data warehousing, quality assurance development and data analysis. A successful candidate will work closely in different aspects of the quality assurance and data